A survey of content based 3D shape retrieval methods |
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Authors: | Johan W H Tangelder Remco C Veltkamp |
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Affiliation: | (1) Prime Vision, Delft, The Netherlands;(2) Department of Information & Computing Sciences, Utrecht University, Utrecht, The Netherlands |
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Abstract: | Recent developments in techniques for modeling, digitizing and visualizing 3D shapes has led to an explosion in the number
of available 3D models on the Internet and in domain-specific databases. This has led to the development of 3D shape retrieval
systems that, given a query object, retrieve similar 3D objects. For visualization, 3D shapes are often represented as a surface,
in particular polygonal meshes, for example in VRML format. Often these models contain holes, intersecting polygons, are not
manifold, and do not enclose a volume unambiguously. On the contrary, 3D volume models, such as solid models produced by CAD
systems, or voxels models, enclose a volume properly. This paper surveys the literature on methods for content based 3D retrieval,
taking into account the applicability to surface models as well as to volume models. The methods are evaluated with respect
to several requirements of content based 3D shape retrieval, such as: (1) shape representation requirements, (2) properties
of dissimilarity measures, (3) efficiency, (4) discrimination abilities, (5) ability to perform partial matching, (6) robustness,
and (7) necessity of pose normalization. Finally, the advantages and limitations of the several approaches in content based
3D shape retrieval are discussed.
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Keywords: | 3D shape retrieval 3D shape matching Dissimilarity measures Meshes Volume models |
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